Evidence map›Paper›PMID 24711637›Full record

Trial reportPeritoneal dialysis international : journal of the International Society for Peritoneal Dialysis

Utility of Urinary Biomarkers in Predicting Loss of Residual Renal Function: The balANZ Trial.

Yeoungjee Cho, David W Johnson, David A Vesey, Carmel M Hawley, Margaret Clarke, Nicholas Topley, balANZ Trial Investigators

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Biocompatible dialysis fluids for peritoneal dialysis.The Cochrane database of systematic reviews · 2018
    Pooled it
  2. Review
  3. Article
  4. Urinary Liver-Type Fatty Acid-Binding Protein Predicts Residual Renal Function Decline in Patients on Peritoneal DialysisMedical science monitor : international medical journal of experimental and clinical research · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Yeoungjee ChoDepartment of Renal Medicine, Princess Alexandra Hospital, Brisbane, Australia School of Medicine, University of Queensland, Brisbane, Australia Translational Research Institute, Brisbane, Australia.
David W JohnsonDepartment of Renal Medicine, Princess Alexandra Hospital, Brisbane, Australia School of Medicine, University of Queensland, Brisbane, Australia Translational Research Institute, Brisbane, Australia.
David A VeseyDepartment of Renal Medicine, Princess Alexandra Hospital, Brisbane, Australia School of Medicine, University of Queensland, Brisbane, Australia Translational Research Institute, Brisbane, Australia.
Carmel M HawleyDepartment of Renal Medicine, Princess Alexandra Hospital, Brisbane, Australia School of Medicine, University of Queensland, Brisbane, Australia Translational Research Institute, Brisbane, Australia.
Margaret ClarkeFresenius Medical Care, Sydney, Australia.
Nicholas TopleyInstitute of Translation, Innovation, Methodology and Engagement, Cardiff University School of Medicine, Cardiff, UK.
balANZ Trial Investigators
The University of Queensland · AUCardiff University · GBPrincess Alexandra Hospital · AUTranslational Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability of urinary biomarkers to predict residual renal function (RRF) decline in peritoneal dialysis (PD) patients has not been defined. The present study aimed to explore the utility of established biomarkers from kidney injury models for predicting loss of RRF in incident PD patients, and to evaluate the impact on RRF of using neutral-pH PD solution low in glucose degradation products.

methodsThe study included 50 randomly selected participants from the balANZ trial who had completed 24 months of follow-up. A change in glomerular filtration rate (GFR) was used as the primary clinical outcome measure. In a mixed-effects general linear model, baseline measurements of 18 novel urinary biomarkers and albumin were used to predict GFR change. The model was further used to evaluate the impact of biocompatible PD solution on RRF, adjusted for each biomarker.

resultsBaseline albuminuria was not a useful predictor of change in RRF in PD patients (p = 0.84). Only clusterin was a significant predictor of GFR decline in the whole population (p = 0.04, adjusted for baseline GFR and albuminuria). However, the relationship was no longer apparent when albuminuria was removed from the model (p = 0.31). When the effect of the administered PD solutions was examined using a model adjusted for PD solution type, baseline albuminuria, and GFR, higher baseline urinary concentrations of trefoil factor 3 (TFF3, p = 0.02), kidney injury molecule 1 (KIM-1, p = 0.04), and interferon γ-induced protein 10 (IP-10, p = 0.03) were associated with more rapid decline of RRF in patients receiving conventional PD solution compared with biocompatible PD solution.

conclusionsHigher urinary levels of kidney injury biomarkers (TFF3, KIM-1, IP-10) at baseline predicted significantly slower RRF decline in patients receiving biocompatible PD solutions. Findings from the present investigation should help to guide future studies to validate the utility of urinary biomarkers as tools to predict RRF decline in PD patients.

Indexed as

Peritoneal DialysisAdultAgedBiomarkersClusterinDialysis SolutionsFemaleGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedOutcome Assessment, Health CarePredictive Value of TestsBiomarkersClusterinDialysis SolutionsBiocompatibilitybiomarkersglucose degradation productskidney injuryresidual renal function

Identifiers

PMID24711637
PMCPMC4406311
OpenAlexW1977604508

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.